Data Scientist

Greetings,

We currently have an urgent opening for a Data Scientist at Synechron in Dubai. We are looking for candidates with 4 to 6 years of relevant experience.

Job Role – Data Scientist

Job Location- Dubai

Job Type: Full Time

Total Exp: 4-6 Yrs

About Company:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Synechron’s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.

We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn’t matter where you’re from or what you’ve had to do to get here – if you have the skills, enthusiasm, and drive to make your mark, we’ll support you like we support each other. Choose a career with us and let’s pursue innovation, together.

Job Description:

Key Responsibilities:

• Data Cleaning and Preprocessing: Perform data cleaning, transformation, and preprocessing to ensure high-quality datasets for analysis and modelling.
• Machine Learning Algorithms: Develop and implement machine learning models using algorithms such as Random Forest, XGBoost, and others to solve complex problems.
• Forecasting: Utilize statistical and machine learning techniques for time series forecasting and predictive analytics.
• Python Programming: Leverage Python packages such as scikit-learn, pandas, and others for data analysis, modelling, and visualization.
• Artificial Intelligence: Apply AI techniques in computer vision, natural language processing (NLP), and generative AI using models like transformers and BERT. Incorporate prompt engineering and retrieval-augmented generation (RAG) applications.
• Cloud Computing: Deploy and manage machine learning and AI models on cloud platforms such as Azure or AWS, utilizing cognitive services.
• Database Management: Work with SQL and NoSQL databases, including Amazon Redshift and vector stores/DBs, to store, retrieve, and manage data efficiently.
• Model Development and Deployment: Develop, test, and deploy machine learning and AI models, ensuring scalability and performance. Implement REST APIs using SOAP, Flask, Swagger, and Postman.
• Data Visualization: Create insightful visualizations and dashboards using tools like Power BI or Tableau.
• MLOps: Design and implement MLOps pipelines for continuous integration, continuous deployment (CI/CD), and monitoring of machine learning models. Ensure seamless deployment of models on cloud platforms and maintain robust pipelines for model updates and management.
• Research and Innovation: Stay updated with the latest research and advancements in data science, AI, and machine learning to continuously improve solutions.
• Certifications: Maintain relevant certifications to demonstrate expertise and commitment to professional development.

Qualifications:

• Bachelor's or master’s degree in data science, Computer Science, Statistics, or a related field.
• Proven experience in data cleaning, preprocessing, and analysis.
• Strong proficiency in machine learning algorithms, including Random Forest and XGBoost.
• Experience with time series forecasting and predictive analytics.
• Proficient in Python and relevant libraries (scikit-learn, pandas, etc.).
• Knowledge of AI techniques in computer vision, NLP, and generative AI (transformers, BERT). Experience with prompt engineering and RAG applications.
• Experience with cloud platforms (Azure, AWS) and cognitive services.
• Familiarity with SQL and NoSQL databases, including Amazon Redshift and vector stores/DBs.
• Demonstrated ability to develop and deploy ML and AI models. Experience with REST APIs using SOAP, Flask, Swagger, and Postman.
• Proficiency in data visualization tools like Power BI or Tableau.
• Experience with MLOps practices, including CI/CD pipelines and model monitoring.
• Strong research skills and ability to stay current with industry trends.
• Relevant certifications in data science, machine learning, or cloud computing.

If you find this opportunity interesting kindly share your updated profile with below details (Mandatory):

Total Experience:-

Experience in Data Scientist: -

Experience in Banking domain: -

project delivery experience Count of Projects Handled (Data Cleaning, ML, Python, AWS, Azure, MLOps, Artificial Intelligence)

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